Mixing Rules Based on Power Means and Generalized q-Fractions
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- Focke Walter W.
- Institute of Applied Materials, Department of Chemical Engineering, University of Pretoria
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- Ackermann Maria H.
- Institute of Applied Materials, Department of Chemical Engineering, University of Pretoria
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- Coetzer Roelof L. J.
- Sasol Technology Research and Development
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Abstract
The linear blending rule (LBR) is the simplest mixing rule linking physical properties with mixture composition. It is just a composition-weighted arithmetic mean over the pure component property values. Unfortunately, the composition dependence of most mixture properties shows nonlinear deviations from the LBR. The conventional approach is to use higher-order Scheffé polynomials. However, this introduces cross-parameters that characterize nonlinear blending effects and that require extensive mixture data for their evaluation. Instead, we propose new parameter-sparse mixing rules that feature pure component parameters only. The new mixing rules were constructed by (i) employing composition-weighted power means, (ii) transforming the composition variables via Wohl’s q-fraction concept, and (iii) combinations of these two approaches.
Journal
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- JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
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JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 45 (1), 1-8, 2012
The Society of Chemical Engineers, Japan
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Details 詳細情報について
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- CRID
- 1390282679544388608
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- NII Article ID
- 130000967367
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- NII Book ID
- AA00709658
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- ISSN
- 18811299
- 00219592
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- NDL BIB ID
- 023513792
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed